DocumentCode :
2731246
Title :
Research of GPC implicit adaptive algorithm-based direct identification
Author :
Zhou, Shoujun ; Zhang, Linhua ; Zhao, Youen
Author_Institution :
Key Lab. of Building Energy Saving Technol. of Shandong Province, Shandong Jianzhu Univ., Jinan, China
Volume :
2
fYear :
2009
fDate :
20-22 Nov. 2009
Firstpage :
231
Lastpage :
235
Abstract :
Based on requirements of theory study and engineering application, a GPC (generalized predictive control) implicit adaptive algorithm was proposed that could adapt the system of time-varying parameters and rather large delay. The GPC algorithm adopted two identifiers to identify controller´s parameters directly, so that it could omit computation of inverse matrix and Diophantine equations. As a result, it could greatly reduce operation process and operation time. Moreover, based on characteristics of the traditional identifying algorithm (least squares), the prediction algorithm was introduced and unified with the traditional one to form a new identifying algorithm. The new algorithm improved tracking ability to parameters change of the traditional one, and preserved its merit-less influence by initial value. Finally, the simulation of the proposed GPC algorithm for heat-exchanging process of district heating system was conducted. The simulation results prove the validity of the algorithm.
Keywords :
delays; district heating; heat transfer; least squares approximations; matrix algebra; predictive control; time-varying systems; tracking; Diophantine equations; GPC algorithm; GPC implicit adaptive algorithm; delay; direct identification; district heating system; generalized predictive control implicit adaptive algorithm; heat-exchanging process; inverse matrix; least squares; prediction algorithm; time-varying parameters; tracking ability; traditional identifying algorithm; Adaptive control; Computational modeling; Equations; Heating; Power engineering and energy; Prediction algorithms; Predictive control; Predictive models; Programmable control; Thermal engineering; direct identification; district heating system; generalized predictive control; prediction algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
Type :
conf
DOI :
10.1109/ICICISYS.2009.5357952
Filename :
5357952
Link To Document :
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